Ill-Soo Kim

588 total citations
61 papers, 454 citations indexed

About

Ill-Soo Kim is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Computational Mechanics. According to data from OpenAlex, Ill-Soo Kim has authored 61 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 14 papers in Civil and Structural Engineering and 11 papers in Computational Mechanics. Recurrent topics in Ill-Soo Kim's work include Welding Techniques and Residual Stresses (42 papers), Advanced Welding Techniques Analysis (21 papers) and Engineering Applied Research (14 papers). Ill-Soo Kim is often cited by papers focused on Welding Techniques and Residual Stresses (42 papers), Advanced Welding Techniques Analysis (21 papers) and Engineering Applied Research (14 papers). Ill-Soo Kim collaborates with scholars based in South Korea, Australia and China. Ill-Soo Kim's co-authors include Chuanyao Chen, Yuanxun Wang, Prasad Yarlagadda, Sang‐Heon Lee, Bo-Ram Lee, Qianqian Wu, In‐Ju Kim, Kwang‐Jin Lee, Yanan Wang and Jisun Kim and has published in prestigious journals such as Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing Technology and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Ill-Soo Kim

50 papers receiving 413 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ill-Soo Kim South Korea 10 380 110 69 46 41 61 454
Perry P. Gao China 12 403 1.1× 138 1.3× 127 1.8× 52 1.1× 18 0.4× 24 484
Kuanfang He China 14 323 0.8× 112 1.0× 41 0.6× 55 1.2× 25 0.6× 62 472
Yupiter HP Manurung Malaysia 15 694 1.8× 139 1.3× 73 1.1× 81 1.8× 52 1.3× 93 784
Ratnam Chanamala India 11 198 0.5× 73 0.7× 66 1.0× 89 1.9× 21 0.5× 37 354
Yinglin Ke China 11 129 0.3× 100 0.9× 85 1.2× 28 0.6× 29 0.7× 40 292
Mariluz Penalva Spain 11 287 0.8× 100 0.9× 79 1.1× 64 1.4× 37 0.9× 32 367
Ario Sunar Baskoro Indonesia 11 368 1.0× 57 0.5× 40 0.6× 50 1.1× 48 1.2× 101 439
Kang-Yul Bae South Korea 9 297 0.8× 45 0.4× 59 0.9× 39 0.8× 19 0.5× 38 355
Yang Jian-guo China 9 372 1.0× 37 0.3× 53 0.8× 18 0.4× 27 0.7× 30 451

Countries citing papers authored by Ill-Soo Kim

Since Specialization
Citations

This map shows the geographic impact of Ill-Soo Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ill-Soo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ill-Soo Kim more than expected).

Fields of papers citing papers by Ill-Soo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ill-Soo Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ill-Soo Kim. The network helps show where Ill-Soo Kim may publish in the future.

Co-authorship network of co-authors of Ill-Soo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ill-Soo Kim. A scholar is included among the top collaborators of Ill-Soo Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ill-Soo Kim. Ill-Soo Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Bo-Ram, et al.. (2023). A Study on the Optimization of Welding Parameters for Titanium Drums Using Optimization Algorithms. Journal of Welding and Joining. 41(3). 185–194. 1 indexed citations
2.
Lee, Bo-Ram, et al.. (2022). A Study on the Real-Time Prediction of the Surface Roughness during the Cutting Process Using an ANN Algorithm. Transactions of the Korean Society of Mechanical Engineers A. 46(12). 1023–1031. 1 indexed citations
3.
Kim, Ill-Soo, et al.. (2021). Study on Floodgate Resonance Avoidance Using FSI Analyses. Transactions of the Korean Society of Mechanical Engineers A. 45(3). 223–230. 3 indexed citations
4.
Kim, Ill-Soo, et al.. (2021). Structural Analysis according to the Thickness of an Aquaculture Crane Boom. Transactions of the Korean Society of Mechanical Engineers A. 45(5). 387–392. 1 indexed citations
5.
Lee, Bo-Ram, et al.. (2021). A Study on Cutting Quality Using a Mahalanobis Distance. Journal of the Korean Society for Precision Engineering. 38(4). 253–260. 4 indexed citations
6.
Lee, Bo-Ram, et al.. (2021). A Study of the Vibration of an Axial Flow Pump through FSI Analysis Method. Journal of the Korean Society of Manufacturing Process Engineers. 20(3). 107–112. 1 indexed citations
7.
Lee, Bo-Ram, et al.. (2020). A Study on Optimization of Fillet in Laser Welding Process for 9% Ni Steel Using Gradient-Based Optimization Algorithm. Journal of Welding and Joining. 38(5). 485–492. 9 indexed citations
8.
Lee, Bo-Ram, et al.. (2019). A Study on Spatter Tracking Algorithm for a Vertical GMA Welding Process. Journal of Welding and Joining. 37(4). 347–356. 5 indexed citations
9.
Kim, Ill-Soo, et al.. (2018). A Review on Optimizations of Welding Parameters in GMA Welding Process. Journal of Welding and Joining. 36(1). 65–75. 5 indexed citations
10.
Kim, Ill-Soo, et al.. (2018). Prediction model for bead reinforcement area in automatic gas metal arc welding. Advances in Mechanical Engineering. 10(8). 13 indexed citations
11.
Kim, Ill-Soo, et al.. (2018). A Study on Performance Prediction of Purging Device using CFD in Laser Welding of Titanium Sheet. Journal of The Korean Society of Manufacturing Technology Engineers. 27(1). 70–75. 1 indexed citations
12.
Park, Min-Ho, et al.. (2017). Optimization of Classifier Operation Conditions Using Taguchi Method and Multiphase Flow Analysis. Journal of The Korean Society of Manufacturing Technology Engineers. 26(3). 278–284. 1 indexed citations
13.
Wu, Qianqian, et al.. (2014). A Study on Development of Optimal Noise Filter Algorithm for Laser Vision System in GMA Welding. Procedia Engineering. 97. 819–827. 20 indexed citations
14.
Kim, Ill-Soo, et al.. (2011). Joining of Aluminum to Steel Pipe by Magnetic Pulse Welding. MATERIALS TRANSACTIONS. 52(5). 999–1002. 12 indexed citations
15.
Kim, Ill-Soo, et al.. (2009). A Study about Analysis of Weld Distortion using Genetic Algorithm. Journal of Welding and Joining. 27(4). 54–59. 1 indexed citations
16.
Kim, Ill-Soo, et al.. (2007). A Study on Monitoring for Process Parameters Using Isotherm Radii. 24(5). 37–42. 1 indexed citations
17.
Kim, Ill-Soo, et al.. (2005). Development of Experimental Model for Bead profile Prediction in GMA Welding. 23(4). 41–47. 1 indexed citations
18.
Kim, Ill-Soo, et al.. (2003). Sensitivity analysis for process parameters in GMA welding process using a factorial design method. Faculty of Built Environment and Engineering. 4 indexed citations
19.
Kim, Ill-Soo, Sang‐Heon Lee, & Prasad Yarlagadda. (2003). Comparison of multiple regression and back propagation neural network approaches in modelling top bead height of multipass gas metal arc welds. Science and Technology of Welding & Joining. 8(5). 347–352. 1 indexed citations
20.
Yarlagadda, Prasad, et al.. (2002). A study on prediction of bead height in robotic arc welding using a neural network. Faculty of Built Environment and Engineering. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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